Description
In this third tier of our MOOC on Machine Learning (ML) in Weather and Climate, we focus on the implementation of ML in weather and climate problems.
This six-module course gives code examples and explainers in topics including:
- Satellite precipitation removal
- Environmental modelling
- Nowcasting
- Data assimilation
- Downscaling
- Ocean modelling
- Operational meteorology
This course is aimed at those with a technical/weather background and experience in Python. Ideally you will have already taken Tiers 1 and 2 of the MOOC on ML in Weather and Climate, or already be familiar with the concepts there.
Please note that this course ran live in early 2023 and reflected the state of the art at that point in time.
Course Content
- How to build a simple ANN model for satellite precipitation retrieval? 🕓30 min
- Quiz
- Machine learning for environmental modelling 🕓30 min
- Quiz
- E-learning 🕓30 min
- Quiz
- E-learning 🕓1 hour
- E-learning
- E-learning 🕓45 min
- E-learning 🕓 30 min
- Quiz
- Operational Meteorology 🕓30 min